This inventor holds 2 USPTO granted patents. Top assignee: Wuhan University. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2023
Title: Innovations of Fei Su in Indoor Robotics
Introduction
Fei Su is an accomplished inventor based in Wuhan, China. He has made significant contributions to the field of robotics, particularly in the area of autonomous exploration and three-dimensional modeling. With a total of 2 patents, his work is paving the way for advancements in mobile robotics.
Latest Patents
Fei Su's latest patents include an "Autonomous exploration framework for indoor mobile robotics using reduced approximated generalized Voronoi graph." This innovative method involves constructing a reduced approximated generalized Voronoi topological map using a morphological approach. It also includes obtaining a Next-Best-View and planning a global path for the robot to navigate along this path using a visual force field (VFF) algorithm.
Another notable patent is the "Multi-story indoor structured three-dimensional modeling method and system." This method encompasses several steps, including inputting a multi-story point cloud and segmenting stories based on an elevation histogram. It also involves segmenting rooms for each story and constructing a vector indoor plan to establish a three-dimensional model of a multi-story structure.
Career Highlights
Fei Su is affiliated with Wuhan University, where he continues to engage in research and development in robotics. His work has garnered attention for its practical applications in indoor navigation and modeling.
Collaborations
Fei Su collaborates with notable colleagues, including Lin Li and Haihong Zhu, who contribute to his research endeavors.
Conclusion
Fei Su's innovative patents and contributions to the field of robotics highlight his expertise and commitment to advancing technology. His work is instrumental in shaping the future of autonomous systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
